Summary differential analysis methods comparison results

# S3 method for compareDA
summary(
  object,
  sort = c("score", "auc", "fpr", "power"),
  boot = TRUE,
  boot_n = 1000L,
  prob = c(0.05, 0.95),
  ...
)

Arguments

object: an compareDA object, output from compare_DA().
sort: character string specifying sort method. Possibilities are "score" which is calculated as \((auc - 0.5) * power - fdr\), "auc" for area under the ROC curve, "fpr" for false positive rate, "power" for empirical power.
boot: logical, whether use bootstrap for confidence limites of the score, default TRUE. Recommended to be TRUE unless n_rep is larger then 100 in compare_DA().
boot_n: integer, number of bootstraps, default 1000L.
prob: two length numeric vector, confidence limits for score, default c(0.05, 0.95).
...: extra arguments affecting the summary produced.

Value

a data.frame containing measurements for differential analysis methods:

call: differential analysis commands.
auc: area under curve of ROC.
fpr: false positive rate
power: empirical power.
fdr: false discover7y rate.
score: score whch is calculated as \((auc - 0.5) * power - fdr\).
score_*: confidence limits of score.